Publications | Brad McDanel

Publications

AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration

Bradley McDanel
preprint
code

a series of diagrams showing different types of circuiting
Designing LLM-Resistant Programming Assignments: Insights and Strategies for CS Educators.

Bradley McDanel, Ed Novak
Special Interest Group Computer Science Educators (SIGCSE), 2025.
paper
code

a diagram of a computer screen with a keyboard and mouse
Revelata at the FinLLM Challenge Task: Improving Financial Text Summarization by Restricted Prompt Engineering and Fine-tuning.

Ken Kawamura, Zeqian Li, Chit-Kwan Lin, Bradley McDanel
Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen) at IJCAI, 2024
paper

a white paper with a black and orange title
ChatGPT as a Java Decompiler

B. McDanel and Zhanhao Liu
3rd Generation, Evaluation & Metrics (GEM) Workshop at EMNLP’23
paper
code

StitchNet: Composing Neural Networks from Pre-Trained Fragments

Surat Teerapittayanon, Marcus Comiter, Bradley McDanel, H. T. Kung.
IEEE International Conference on Machine Learning (ICMLA), 2023.
preprint

a diagram of a network
Accelerating Vision Transformer Training via a Patch Sampling Schedule

Bradley McDanel, Chi Phuong Huynh
IEEE International Conference on Machine Learning (ICMLA), 2023.
preprint
code

the diagram shows how patch sampling is used
Accelerating DNN Training with Structured Data Gradient Pruning

B. McDanel, H. Dinh, J. Magallanes
International Conference on Pattern Recognition (ICPR), 2022.
preprint

the diagram shows how to use two separate squares
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding

S. Zhang, B. McDanel, H. T. Kung
28th IEEE International Symposium on High-Performance Computer Architecture (HPCA-28), 2022.
preprint

a diagram showing the different components of a computer system
Saturation RRAM Leveraging Bit-level Sparsity Resulting from Term Quantization

B. McDanel, H. T. Kung, S. Zhang
IEEE International Symposium on Circuits and Systems (ISCAS), 2021
paper

a diagram showing the different types of data
Field-Configurable Multi-resolution Inference: Rethinking Quantization

S. Zhang, B. McDanel, H. T. Kung, X. Dong
26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021
preprint

two diagrams showing the different types of hardware